Preprint

Deep Deconvolution of Object Information Modulated by a Refractive Lens Using Lucy-Richardson-Rosen Algorithm

Praveen PAInstitute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, Estonia;Francis Gracy ArockiarajPG & Research Department of Physics, The American College, Madurai 625009, India;Shivasubramanian GopinathPG & Research Department of Physics, Thiagarajar College, Madurai 625009, India;Daniel SmithOptical Sciences Center, Swinburne University of Technology, Melbourne 3122, Australia;Tauno KahroInstitute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, Estonia;Sandhra-Mirella ValdmaInstitute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, Estonia;Andrei BleahuInstitute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, Estonia;Andra Naresh Kumar ReddyLaboratory of nonlinear optics, University of Latvia, Riga, LV -1004, Latvia;Tomas KatkusOptical Sciences Center, Swinburne University of Technology, Melbourne 3122, Australia;Aravind Simon John Francis RajeswaryRashid. A GaneevLaboratory of nonlinear optics, University of Latvia, Riga, LV -1004, Latvia;Siim PikkerInstitute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, Estonia;Kaupo KukliInstitute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, Estonia;Aile TammInstitute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, Estonia;Saulius JuodkazisOptical Sciences Center, Swinburne University of Technology, Melbourne 3122, Australia;Vijayakumar AnandInstitute of Physics, University of Tartu, W. Ostwaldi 1, 50411 Tartu, Estonia;

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Annotatsiya

A refractive lens is one of the simplest, cost-effective and easily available imaging elements. With a spatially incoherent illumination, a refractive lens can faithfully map every object point to an image point in the sensor plane, when the object and image distances satisfy the imaging conditions. However, static imaging is limited to the depth of focus, beyond which the point-to-point mapping can be only obtained by changing either the location of the lens or the imaging sensor. In this study, the depth of focus of a refractive lens in static mode has been expanded using a recently developed computational reconstruction method, Lucy-Richardson-Rosen algorithm (LRRA). The technique consists of three steps. In this first step, the point spread functions (PSFs) were recorded along different depths and stored in the computer as PSF library. In the next step, the object intensity distribution was recorded. The LRRA was then applied to deconvolve the object information from the recorded intensity distributions in the final step. The results of LRRA were compared against two well-known reconstruction methods namely Lucy-Richardson algorithm and non-linear reconstruction.

Mavzular

Image Processing Techniques and Applications Advanced Optical Sensing Technologies Photoacoustic and Ultrasonic Imaging

Identifikatorlar

DOI: 10.20944/preprints202208.0010.v1

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